The Ifanadiana Geospatial Data Portal is a repository for data generated in multiple research
projects conducted by Pivot and IRD in Ifanadiana since 2018 to better understand health
care access and disease burdens in the district, including:
MAGIE – Mobile technologies for geographical access to care in Ifanadiana: The goal of this
project, funded by IRD (2018-2019), was to understand geographical access to primary care
and its determinants, via a large-scale mapping effort in Ifanadiana District through
OpenStreetMap that resulted in the mapping of over 100,000 buildings and 20,000 km of
footpaths.
SMALLER – Surveillance and control of malaria at the local level using e-health platforms:
The goal of this project, funded by ANR (2019-2025), was to develop statistical and
mathematical models of malaria transmission that will inform key features of program
implementation, helping to optimize surveillance and control strategies at the community
level. For this, we coupled for each community in the district of Ifanadiana (south-eastern
Madagascar), accurate epidemiological surveillance of malaria cases, high resolution satellite
environmental information, and longitudinal socio-economic and behavioural data. The
project piloted innovative and reliable malaria decision-making tools that were validated
locally and could be scaled-up to other rural areas.
AFRICAM – PREZODE in Action in the Global South, Madagascar project: The goal of this
project, funded by AFD (2023-2026), was to develop and strengthen surveillance capabilities
for priority zoonotic diseases such as Rift Valley Fever (and other vector-borne diseases),
pathogens with a wildlife origin (Hantaviruses and coronaviruses) and Rabies. For this, a
large consortium of academic, civil society and public institutions carried out activities to 1)
Better understand the risk of emerging zoonotic diseases and their determinants, 2) Reduce
zoonotic risks via participatory approaches, and 3) Strengthen zoonotic risk surveillance via
the development of community-based integrated surveillance systems.
Creation of this interface was funded by the AFRICAM project.
This dataset contains Normalized Difference Vegetation Index (NDVI) values extracted from Sentinel-2 imagery for areas around four major villages per fokontany. NDVI values were extracted within a 1 km buffer around each village, and an average weighted by the number of buildings per village was calculated for each measuring point.
🗂
Columns
comm_fktname of fokontany using standardized ‘new_commune’_’fokontany’ nomenclature
vill_ndvindvii values calculated from Sentinel-2 images
datedate in format: YYYY-MM corresponding to year and month
Processing and treatment of images using Sen2Chain : Download L1C (top of atmosphere) products from available suppliers / Processing of L1C to L2A (bottom of atmosphere) products / Calculation of cloud masks and radiometric indices; Calculation of NDVI using the following equation: (B08 - B4) / (B08 + B4) Extraction of NDVI values from Sentinel-2 imagery. Definition of a 1 km buffer around each major village. Calculation of a weighted average of NDVI values based on the number of buildings per village. https://espace-dev.frama.io/sen2chain/